Resume
Academic Achievements
- 1. Publication: Unique Sparse Decomposition of Low Rank Matrices, Joint work with Xin Bing and Yuqian Zhang, IEEE Transactions on Information Theory (Shorter version accepted at NeurIPS 2021)
- 2. Publication: Optimal Vintage Factor Analysis with Deflation Varimax, Joint work with Xin Bing, Xin He and Yuqian Zhang, The Annals of Statistics
- 3. Publication: Community Detection for Contextual-LSBM, Joint work with Qiaosheng Zhang and Yuqian Zhang (Shorter version accepted by ISIT 2025)
- 4. Publication: One-shot Robust Federated Learning of ICA, Joint work with Xin Bing and Yuqian Zhang (Shorter version submitted to NeurIPS 2025)
Research Experience
- 1. Research Intern at Shanghai AI Lab, May 2024 - Aug 2024, Topic: Community detection for Contextual Label-SBM
- 2. Machine Learning Intern at Alibaba – Taobao-Mall Group, June 2023 - Aug 2023, Topic: Search-enhanced recommendation systems
- 3. Research Intern at Futurewei – AI Research, May 2022 - Aug 2022, Topic: Robustness analysis on graph clustering
- 4. Research Intern at iFlytek – AI Lab, May 2019 - Aug 2019, Topic: Machine translation estimation
Education
- 1. B.E. in Automation Engineering from University of Electronic Science and Technology of China (UESTC), 2019
- 2. Ph.D. in Electrical & Computer Engineering from Rutgers University, New Brunswick, expected 2025, advised by Prof. Yuqian Zhang
Background
- Research Interests: Theoretical guarantees for statistical methods in machine learning and (Non-convex) optimization problems. Also interested in real-world applications of these methods.
Miscellany
- Contact: uestcjd@gmail.com
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